Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering

Adaptive Pulse Compression of MIMO Radar Based on SIC

Authors
Ying-Hua Tian, Xiu-Kun Ren, Xiao-Ying Li
Corresponding Author
Ying-Hua Tian
Available Online February 2016.
DOI
10.2991/iccsae-15.2016.12How to use a DOI?
Keywords
MIMO Radar; Adaptive Pulse Compression; Successive Interference Cancellation
Abstract

Multiple-Input-Multiple-Output (MIMO) radar is recently the focus of radar research, which transmits different waveforms to illuminate the target from different antennas simultaneously. However the cross correlation of the waveforms may lead to interference between receiving signals. In this paper, we consider the use of adaptive pulse compression based on successive interference cancellation (SIC) to mitigate the mutual interference in MIMO radar receiver. The proposed method cancels interference successively on the pulse compression stage of each observation channel by subtracting the estimation of prior channel. The simulation results demonstrate the effectiveness of the proposed method.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
Series
Advances in Computer Science Research
Publication Date
February 2016
ISBN
978-94-6252-156-8
ISSN
2352-538X
DOI
10.2991/iccsae-15.2016.12How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ying-Hua Tian
AU  - Xiu-Kun Ren
AU  - Xiao-Ying Li
PY  - 2016/02
DA  - 2016/02
TI  - Adaptive Pulse Compression of MIMO Radar Based on SIC
BT  - Proceedings of the 2015 5th International Conference on Computer Sciences and Automation Engineering
PB  - Atlantis Press
SP  - 54
EP  - 58
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccsae-15.2016.12
DO  - 10.2991/iccsae-15.2016.12
ID  - Tian2016/02
ER  -